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Record W4250113241 · doi:10.14740/jmc2220w

Severe Hypercalcemia as the Presenting Sign of Tuberculosis

2015· article· en· W4250113241 on OpenAlexvenueno aff
Michael Kavanaugh, Mary Bavaro, Robert Barthel, Ryan C. Maves, Harold L. Groff

Bibliographic record

VenueJournal of Medical Cases · 2015
Typearticle
Languageen
FieldMedicine
TopicInfectious Diseases and Tuberculosis
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTuberculosisSputumPrednisoneMycobacterium tuberculosisRefractory (planetary science)Paradoxical reactionGastroenterologyInternal medicineTuberculomaSurgeryDermatologyPathology

Abstract

fetched live from OpenAlex

Severe hypercalcemia due to tuberculosis (TB) is rare. We describe a case of a 25-year-old male who was found to have a serum calcium level 15.4 mg/dL at a routine appointment prompting admission. Chest imaging demonstrated hilar lymphadenopathy and airspace opacities principally involving the lingula. Multiple sputum smears were negative for acid-fast bacilli (AFB), but cultures of sputum subsequently grew Mycobacterium tuberculosis . Despite appropriate therapy for TB, his serum calcium failed to normalize, prompting initiation of prednisone with rapid improvement. In granulomatous diseases, including TB, inflammation is mediated in part by elevated calcitriol released from macrophages, with resulting rises in serum calcium concentrations. Glucocorticoids are commonly used as adjunctive therapy for TB meningitis and pericarditis and this case emphasizes the potential role for steroids in refractory hypercalcemia. J Med Cases. 2015;6(8):382-384 doi: http://dx.doi.org/10.14740/jmc2220w

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.033
GPT teacher head0.319
Teacher spread0.287 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2015
Admission routes1
Has abstractyes

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